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Protocol to support model selection and evaluation in a modular crop modelling framework: An application for simulating crop response to nitrogen supply

Adam Myriam, Belhouchette H., Corbeels Marc, Ewert Franck, Perrin Aurélie, Casellas E., Celette Florian, Wery Jacques. 2012. Protocol to support model selection and evaluation in a modular crop modelling framework: An application for simulating crop response to nitrogen supply. Computers and Electronics in Agriculture, 86 (1) : pp. 43-54.

Journal article ; Article de revue à facteur d'impact
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Quartile : Q1, Sujet : AGRICULTURE, MULTIDISCIPLINARY / Quartile : Q2, Sujet : COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Abstract : Crop models require different structures for different applications. Modular and flexible crop modelling frameworks, such as the recently developed agricultural production and externalities simulator (APES), support the change of model structure. However, the assembly of different modules to create a model may not always result in the best model structure. We developed and tested a protocol for a systematic selection and evaluation of a crop growth model structure. The novelty of the presented protocol relies on a throughout analysis of the different modelling approaches (modules) and on how to assemble them to create new modelling solutions (i.e. model). We use a case study to demonstrate that we can explicitly express and test the different assumptions behind the choice of a specific modelling approach. Our case study refers to the simulation of crop growth in response to nitrogen management and the importance of an accurate simulation of the nitrogen uptake. Applying the proposed protocol, we identify the need to improve the initially selected nitrogen mineralisation module. We conclude that not only is the protocol suitable to provide guidance for systematic testing of different crop processes modelled, but also its use highlights the importance of the documentation of the modelling process and of the clarification of the uncertainty associated with the model structure. (Résumé d'auteur)

Mots-clés Agrovoc : Modélisation des cultures, Modèle mathématique, Fertilisation, Azote, Croissance, Physiologie de la nutrition, Engrais azoté, Étude de cas, Zea mays, Triticum

Classification Agris : U10 - Mathematical and statistical methods
F04 - Fertilizing
F61 - Plant physiology - Nutrition
F62 - Plant physiology - Growth and development

Champ stratégique Cirad : Axe 1 (2005-2013) - Intensification écologique

Auteurs et affiliations

  • Adam Myriam, Wageningen University (NLD) ORCID: 0000-0002-8873-6762
  • Belhouchette H., CIHEAM (FRA)
  • Corbeels Marc, CIRAD-PERSYST-UPR SCA (BRA)
  • Ewert Franck, Universität Bonn (DEU)
  • Perrin Aurélie, CIRAD-PERSYST-UPR HortSys (FRA)
  • Casellas E., Montpellier SupAgro (FRA)
  • Celette Florian, UCLB (FRA)
  • Wery Jacques, Montpellier SupAgro (FRA)

Autres liens de la publication

Source : Cirad - Agritrop (https://agritrop.cirad.fr/564668/)

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